Claude Opus 4.8

Claude Opus 4.8 ranks #8 out of 226 models on the public BenchAlign leaderboard, with a score of 76.45/100. Its evidence status is Supported, and this profile shows 33 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Claude Opus 4.8 ranks #3 out of 60 eligible models for knowledge and understanding, with a public category score of 86.8/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Claude Opus 4.8 ranks #8 out of 144 eligible models for coding and programming, with a public category score of 72/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Claude Opus 4.8 ranks #2 out of 7 eligible models for mathematics, with a public category score of 66.8/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Claude Opus 4.8 has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Claude Opus 4.8 ranks #16 out of 138 eligible models for agentic tool use and computer tasks, with a public category score of 61.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Claude Opus 4.8 ranks #4 out of 35 eligible models for multimodal and grounded tasks, with a public category score of 85.4/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Claude Opus 4.8 has source-displayable benchmark coverage for multilingual tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

No. Claude Opus 4.8 currently has 50 source-displayable rows across 406 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

Claude Opus 4.8 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.